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@ -25,6 +25,7 @@ import logging |
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import os |
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import pprint |
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import sys |
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import urllib |
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import urllib2 |
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from collections import namedtuple |
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@ -34,7 +35,8 @@ sys.path.append(gcp_utils_dir) |
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import big_query_utils |
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GH_ISSUES_URL = 'https://api.github.com/repos/grpc/grpc/issues' |
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GH_ISSUE_CREATION_URL = 'https://api.github.com/repos/grpc/grpc/issues' |
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GH_ISSUE_SEARCH_URL = 'https://api.github.com/search/issues' |
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KOKORO_BASE_URL = 'https://kokoro2.corp.google.com/job/' |
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def gh(url, data=None): |
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@ -51,11 +53,22 @@ def gh(url, data=None): |
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response.getcode(), response.geturl())) |
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def create_gh_issue(title, body, labels): |
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data = json.dumps({'title': title, |
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'body': body, |
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'labels': labels}) |
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response = gh(GH_ISSUES_URL, data) |
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def search_gh_issues(search_term, status='open'): |
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params = ' '.join((search_term, 'is:issue', 'is:open', 'repo:grpc/grpc')) |
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qargs = urllib.urlencode({'q': params}) |
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url = '?'.join((GH_ISSUE_SEARCH_URL, qargs)) |
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response = gh(url) |
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return response |
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def create_gh_issue(title, body, labels, assignees=[]): |
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params = {'title': title, |
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'body': body, |
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'labels': labels} |
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if assignees: |
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params['assignees'] = assignees |
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data = json.dumps(params) |
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response = gh(GH_ISSUE_CREATION_URL, data) |
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issue_url = response['html_url'] |
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print('Issue {} created for {}'.format(issue_url, title)) |
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@ -65,63 +78,59 @@ def build_kokoro_url(job_name, build_id): |
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return KOKORO_BASE_URL + job_path |
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def create_issues(new_flakes): |
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def create_issues(new_flakes, always_create): |
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for test_name, results_row in new_flakes.items(): |
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poll_strategy, job_name, build_id, timestamp = results_row |
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url = build_kokoro_url(job_name, build_id) |
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title = 'New Flake: ' + test_name |
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title = 'New Failure: ' + test_name |
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body = '- Test: {}\n- Poll Strategy: {}\n- URL: {}'.format( |
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test_name, poll_strategy, url) |
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labels = ['infra/New Flakes'] |
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create_gh_issue(title, body, labels) |
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labels = ['infra/New Failure'] |
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if always_create: |
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proceed = True |
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else: |
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preexisting_issues = search_gh_issues(test_name) |
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if preexisting_issues['total_count'] > 0: |
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print('\nFound {} issues for "{}":'.format( |
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preexisting_issues['total_count'], test_name)) |
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for issue in preexisting_issues['items']: |
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print('\t"{}" ; URL: {}'.format(issue['title'], issue['url'])) |
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else: |
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print('\nNo preexisting issues found for "{}"'.format(test_name)) |
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proceed = raw_input('Create issue for:\nTitle: {}\nBody: {}\n[Y/n] '.format( |
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title, body)) in ('y', 'Y', '') |
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if proceed: |
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assignees_str = raw_input('Asignees? (comma-separated, leave blank for unassigned): ') |
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assignees = [assignee.strip() for assignee in assignees_str.split(',')] |
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create_gh_issue(title, body, labels, assignees) |
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def print_table(table, format): |
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first_time = True |
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for test_name, results_row in table.items(): |
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poll_strategy, job_name, build_id, timestamp = results_row |
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ts = int(float(timestamp)) |
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# TODO(dgq): timezone handling is wrong. We need to determine the timezone |
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# of the computer running this script. |
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human_ts = datetime.datetime.utcfromtimestamp(ts).strftime('%Y-%m-%d %H:%M:%S UTC') |
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full_kokoro_url = build_kokoro_url(job_name, build_id) |
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if format == 'human': |
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print("\t- Test: {}, Polling: {}, Timestamp: {}, url: {}".format( |
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test_name, poll_strategy, human_ts, full_kokoro_url)) |
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test_name, poll_strategy, timestamp, full_kokoro_url)) |
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else: |
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assert(format == 'csv') |
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print("{},{},{}".format(test_name, ts, human_ts, full_kokoro_url)) |
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if first_time: |
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print('test,timestamp,url') |
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first_time = False |
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print("{},{},{}".format(test_name, timestamp, full_kokoro_url)) |
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Row = namedtuple('Row', ['poll_strategy', 'job_name', 'build_id', 'timestamp']) |
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def get_flaky_tests(from_date, to_date, limit=None): |
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"""Return flaky tests for date range (from_date, to_date], where both are |
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strings of the form "YYYY-MM-DD" """ |
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def get_new_failures(dates): |
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bq = big_query_utils.create_big_query() |
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query = """ |
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#standardSQL |
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SELECT |
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RTRIM(LTRIM(REGEXP_REPLACE(filtered_test_name, r'(/\d+)|(bins/.+/)|(cmake/.+/.+/)', ''))) AS test_binary, |
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REGEXP_EXTRACT(test_name, r'GRPC_POLL_STRATEGY=(\w+)') AS poll_strategy, |
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job_name, |
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build_id, |
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timestamp |
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FROM ( |
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SELECT |
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REGEXP_REPLACE(test_name, r'(/\d+)|(GRPC_POLL_STRATEGY=.+)', '') AS filtered_test_name, |
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test_name, |
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job_name, |
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build_id, |
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timestamp |
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FROM `grpc-testing.jenkins_test_results.aggregate_results` |
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WHERE |
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timestamp > TIMESTAMP("{from_date}") |
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AND timestamp <= TIMESTAMP("{to_date}") |
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AND NOT REGEXP_CONTAINS(job_name, 'portability') |
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AND result != 'PASSED' AND result != 'SKIPPED' |
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) |
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ORDER BY timestamp desc""".format( |
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from_date=from_date.isoformat(), to_date=to_date.isoformat()) |
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if limit: |
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query += '\n LIMIT {}'.format(limit) |
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this_script_path = os.path.join(os.path.dirname(__file__)) |
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sql_script = os.path.join(this_script_path, 'sql/new_failures_24h.sql') |
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with open(sql_script) as query_file: |
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query = query_file.read().format( |
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calibration_begin=dates['calibration']['begin'], |
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calibration_end=dates['calibration']['end'], |
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reporting_begin=dates['reporting']['begin'], |
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reporting_end=dates['reporting']['end']) |
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logging.debug("Query:\n%s", query) |
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query_job = big_query_utils.sync_query_job(bq, 'grpc-testing', query) |
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page = bq.jobs().getQueryResults( |
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@ -156,27 +165,9 @@ date |
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days days |
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""" |
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dates = process_date_args(args) |
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calibration_results = get_flaky_tests(dates['calibration']['begin'], |
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dates['calibration']['end']) |
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reporting_results = get_flaky_tests(dates['reporting']['begin'], |
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dates['reporting']['end']) |
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logging.debug('Calibration results: %s', pprint.pformat(calibration_results)) |
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logging.debug('Reporting results: %s', pprint.pformat(reporting_results)) |
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calibration_names = set(calibration_results.keys()) |
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logging.info('|calibration_results (%s, %s]| = %d', |
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dates['calibration']['begin'].isoformat(), |
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dates['calibration']['end'].isoformat(), |
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len(calibration_names)) |
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reporting_names = set(reporting_results.keys()) |
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logging.info('|reporting_results (%s, %s]| = %d', |
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dates['reporting']['begin'].isoformat(), |
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dates['reporting']['end'].isoformat(), |
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len(reporting_names)) |
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new_flakes = reporting_names - calibration_names |
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logging.info('|new_flakes| = %d', len(new_flakes)) |
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return {k: reporting_results[k] for k in new_flakes} |
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new_failures = get_new_failures(dates) |
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logging.info('|new failures| = %d', len(new_failures)) |
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return new_failures |
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def build_args_parser(): |
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@ -194,6 +185,10 @@ def build_args_parser(): |
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parser.add_argument('--create_issues', dest='create_issues', action='store_true', |
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help='Create issues for all new flakes.') |
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parser.set_defaults(create_issues=False) |
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parser.add_argument('--always_create_issues', dest='always_create_issues', action='store_true', |
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help='Always create issues for all new flakes. Otherwise,' |
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' interactively prompt for every issue.') |
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parser.set_defaults(always_create_issues=False) |
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parser.add_argument('--token', type=str, default='', |
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help='GitHub token to use its API with a higher rate limit') |
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parser.add_argument('--format', type=str, choices=['human', 'csv'], |
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@ -243,7 +238,8 @@ def main(): |
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print(found_msg) |
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print('*' * len(found_msg)) |
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print_table(new_flakes, 'human') |
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create_issues(new_flakes) |
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if args.create_issues: |
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create_issues(new_flakes, args.always_create_issues) |
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else: |
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print('No new flakes found '.format(len(new_flakes)), dates_info_string) |
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elif args.format == 'csv': |
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@ -254,7 +250,6 @@ def main(): |
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dates['reporting']['end'].isoformat(), |
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len(new_flakes))) |
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else: |
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print('test,timestamp,readable_timestamp,url') |
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print_table(new_flakes, 'csv') |
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else: |
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raise ValueError('Invalid argument for --format: {}'.format(args.format)) |